IOT/AI

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According to the US Department of Energy, pumping systems account for almost 20 percent of the world’s energy consumed by electric motors and approximately 25 to 50 percent of the total electric energy usage in certain industrial facilities. Among other applications, pumps move crude oil through vast pipeline networks, which in turn play an indispensable role in transporting hydrocarbons to key markets. Suppliers are already developing solutions such as digital twins that can leverage data analytics to optimize the performance of pump stations for crude oil and other pipelines. Digital Twins and Oil & Gas 4.0 – Key Benefits As digital replica modeling tools, digital twins support a digital culture of fail fast, learn quick by providing the perfect testing ground for innovative n...

The share of agriculture to be $1 trillion when India’s economy touches $5 trillion in 2025. – PM Narendra Modi at World Economic Forum Annual Meeting in Davos India has been at the forefront of advances in the agriculture in the world. Government policies in the field of water & soil conservation, animal husbandry, irrigation and research & extension services have led India to emerge as amongst the fastest growing agriculture economy since 2002. Today, agriculture contributes nearly 17.5% of India’s GDP. Since 2002 India has seen 3% annual growth rate in the agricultural sector. But a lot needs to be done to fulfil the government’s vision of making Agriculture add one trillion dollars to the economy. Current Agriculture Scenario India is the world’s largest...

The first industrial revolution marked the transition from traditional hand production to machine-driven production. The second one was characterised by rapid industrialization driven by technological innovations of the day, moving from small production units to massive factories where hundreds of people worked at any given point of time. The third industrial revolution could be credited to the World Wars – perhaps the only good to come out of the carnage and destruction. This IR saw the introduction of computers and robots to aid production, resulting in greater efficiency, throughput and quality. We are now in the fourth revolution, which is commonly known as Industry 4.0. Industry 4.0 has been powered by a significant number of factors. All transitions have been driven by economic consi...

Most of the IT decision makers are of the opinion that AI is badly needed in BFSI segment and will lead to drastic improvement in operational efficiency and will fundamentally transform the core financial processes. Conversational AI technologies are the way to go as they facilitate two-way interactions and allow banks to establish long term relationships with customers by providing seamless experience covering multiple banking aspects throughout the year. With time the Conversational AI technologies will slowly reach a level towards an automated response system to contextualize and personalize conversations with their customer on-demand and in real time. Major sub-segments to influence AI implementation in BFSI sector: Chatbots or Voicebots: This AI technology is programmed to conv...

Two lawyers walk into a smart manufacturing conference. Sounds like the beginning of a bad joke, right? Well, no, actually, it was the reality last month when lawyers Matt Pollins, partner and head of commercial/TMT at legal firm CMS Singapore, and Wong Hong Boon, manufacturing and supply chain legal counsel at 3M Singapore, joined a panel chaired by ARC Advisory Group at the inaugural Smart Manufacturing, 3D Printing & Industry 4.0 Forum event, in Singapore, to discuss legal challenges emerging from the rising adoption of technologies like cloud, internet of things, and artificial intelligence in the manufacturing sector. On stage along with the lawyers and contributing to what was a vibrant and engaging panel session: Ani Bhalekar, Head of IoT/Industry X.0 & Mobile Practices for...

In Part 2 of this article on the legal landscape related to smart manufacturing, we take a look at legal issues surrounding data ownership, data privacy, as well as the implications of artificial intelligence, which is rapidly making inroads to the manufacturing arena. The inspiration for two blog posts (Part 1 and this Part 2) on a much less discussed aspect of Industry 4.0 comes from last month’s Smart Manufacturing, 3D Printing & Industry 4.0 Forum event in Singapore, where ARC Advisory Group chaired a panel, Future of Manufacturing: The Emerging Legal Challenges, comprising lawyers Matt Pollins, partner and head of commercial/TMT at legal firm CMS Singapore and Wong Hong Boon, manufacturing and supply chain legal counsel at 3M Singapore, along with Ani Bhalekar, Head of IoT/Indust...

Authors: Srikar Reddy Managing Director and Chief Executive Officer, Sonata Software Limited Mauro F. Guillén Anthony L. Davis Director of The Lauder Institute, Dr. Felix Zandman Professor of International Management, The Wharton School, University of Pennsylvania Artificial intelligence (AI) relies on big data and machine learning for myriad applications, from autonomous vehicles to algorithmic trading, and from clinical decision support systems to data mining. The availability of large amounts of data is essential to the development of AI. Given China’s large population and business sector, both of which use digitized platforms and tools to an unparalleled extent, it may enjoy an advantage in AI. In addition, it has fewer constraints on the use of information gathered through the ...

Process engineering simulation software has transformed the way process engineers do their job and is essential to maximize the return on capital investment in your plant or another industrial facility. The proven capabilities and security of the cloud can now transform the way manufacturing owner-operators and Engineering (EPC, EPCM) deploy simulation software. Please join me for a webinar with Penn Energy. ARC Advisory Group will share best practices in transforming Engineering into agile, optimized operations delivering on Industry 4.0 outcomes. Digital transformation, Industrial IoT and Industry 4.0 have all created the awareness and need for change. Cloud services have re-defined process engineering and how changed the business dynamic for engineering organizations and the role of IT...

Artificial Intelligence and Machine Learning have the potential to revolutionize DevOps productivity and business efficiency. DevOps model symbolizes as a mean to accelerate development efforts and deliver new applications. Ability to build applications with the latest production data, deliver updates quickly with more application testing in less time, speeding up the release cycle and integration testing and reducing the restoration time are the main requirements for DevOps. DevOps practices results in large amount of data and to analyze such huge data technologies like Machine Learning and Artificial Intelligence are required. Artificial Intelligence and Machine Learning are providing solutions to optimize the DevOps processes. It helps to keep track of production performance, establish ...

The IIoT edge environment, where enterprise-level IT processes interact with the production-driven OT landscape, currently represents one of the largest areas of opportunity within the overall activity surrounding digital transformation. The sheer number of edge initiatives pursued by IT and OT suppliers, as well as standards committees, trade organizations and other industry participants, is but one indicator of the perceived potential for edge activities to drive incremental performance improvements. After listening to a recent radio interview with a musician inspired by acclaimed cellist Yo-Yo Ma’s Silk Road project, I was struck by the parallels between his analysis of the edge effect on music and culture and the current focus on IIoT edge activities. To paraphrase, he cites the edge...